Information Retrieval IR systems store a large volume of unstructured data and provide search results for a user query. The performance of the IR systems depends upon the relevancy of the search results with user query. Page ranking algorithms are used to assign rank to the retrieved results for a user query. Page ranking algorithms are mainly categories in to web structure mining and web content mining. In literature many page ranking algorithms have been proposed to improve the relevancy of search results for a user query. In this paper a new hybrid page ranking algorithm using web structure mining and web content mining has been proposed. The algorithm is implemented and tested on a test data results shows that the new proposed algorithm performs better than the existing algorithms